000			03822nam a22004815i 4500
001			978-94-007-2879-0
003			DE-He213
005			20140220083343.0
007			cr nn 008mamaa
008			120221s2012 ne | s |||| 0|eng d
020			_a9789400728790 _9978-94-007-2879-0
024	7		_a10.1007/978-94-007-2879-0 _2doi
050		4	_aH61-61.95
072		7	_aJHBC _2bicssc
072		7	_aSOC019000 _2bisacsh
082	0	4	_a300.1 _223
100	1		_aCourgeau, Daniel. _eauthor.
245	1	0	_aProbability and Social Science _h[electronic resource] : _bMethodological Relationships between the two Approaches / _cby Daniel Courgeau.
264		1	_aDordrecht : _bSpringer Netherlands : _bImprint: Springer, _c2012.
300			_aXXXIII, 308 p. 1 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aMethodos Series, Methodological Prospects in the Social Sciences ; _v10
505	0		_aGeneral Introduction -- Part 1: From Probability to Social Sciences -- Introduction to Part 1 -- Chapter 1: The Objectivist Approach -- Chapter 2: The Epistemic Approach: Subjectivist Interpretation -- Chapter 3: The Epistemic Approach: Logicist Interpretation -- Conclusion of Part 1 -- Part II: From Population Sciences to Probability -- Introduction to Part II -- Chapter 4: The Dispersion of Measures in Population Sciences -- Chapter 5: Closer Links between Population Sciences and Probability -- Conclusion of Part II -- General Conclusion -- Glossary -- References -- Subject Index -- Author Index.
520			_aThis work examines in depth the methodological relationships that probability and statistics have maintained with the social sciences from their emergence. It covers both the history of thought and current methods. First it examines in detail the history of the different paradigms and axioms for probability, from their emergence in the seventeenth century up to the most recent developments of the three major concepts: objective, subjective and logicist probability. It shows the statistical inference they permit, different applications to social sciences and the main problems they encounter. On the other side, from social sciences—particularly population sciences—to probability, it shows the different uses they made of probabilistic concepts during their history, from the seventeenth century, according to their paradigms: cross-sectional, longitudinal, hierarchical, contextual and multilevel approaches. While the ties may have seemed loose at times, they have more often been very close: some advances in probability were driven by the search for answers to questions raised by the social sciences; conversely, the latter have made progress thanks to advances in probability. This dual approach sheds new light on the historical development of the social sciences and probability, and on the enduring relevance of their links. It permits also to solve a number of methodological problems encountered all along their history.
650		0	_aSocial sciences.
650		0	_aDistribution (Probability theory).
650		0	_aMathematical statistics.
650		0	_aSocial sciences _xMethodology.
650	1	4	_aSocial Sciences.
650	2	4	_aMethodology of the Social Sciences.
650	2	4	_aProbability Theory and Stochastic Processes.
650	2	4	_aStatistical Theory and Methods.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789400728783
830		0	_aMethodos Series, Methodological Prospects in the Social Sciences ; _v10
856	4	0	_uhttp://dx.doi.org/10.1007/978-94-007-2879-0
912			_aZDB-2-SHU
999			_c104597 _d104597